1
|
Gold LS, Heagerty PJ, Hansen RN, Friedly JL, Deyo RA, Curatolo M, Turner JA, Rundell SD, Jarvik JG, Suri P. Adverse respiratory events during treatment with gabapentin and opioids among older adults with spine-related conditions: a propensity-matched cohort study in the US Medicare population. Spine J 2025:S1529-9430(25)00163-9. [PMID: 40157427 DOI: 10.1016/j.spinee.2025.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2024] [Revised: 03/17/2025] [Accepted: 03/22/2025] [Indexed: 04/01/2025]
Abstract
BACKGROUND CONTEXT Recent work indicates no increased mortality risk with concurrent gabapentin and opioid use when using an active comparator control design. However, concurrent gabapentin and opioid prescriptions have been associated with greater risk of respiratory depression in some studies. PURPOSE To compare the risk of respiratory events among Medicare enrollees with histories of spine-related diagnoses treated with gabapentin+opioids versus those treated with tricyclic antidepressants (TCA) or duloxetine+opioids. We hypothesized that enrollees treated with gabapentin+opioids would have increased risk of adverse respiratory events compared to those treated with an active control+opioids. STUDY DESIGN/SETTING Propensity score-matched cohort study with an incident user, active comparator (TCA/duloxetine) control design. The primary analysis included those who concurrently (within 30 days) filled ≥1 incident gabapentin+≥1 opioid or ≥1 incident TCA/duloxetine+≥1 opioid prescription. PATIENT SAMPLE U.S. Medicare beneficiaries with histories of spine-related diagnoses 2017 to 2019. People treated with gabapentin+opioids (n=66,860) were matched on demographic and clinical factors to people treated with TCAs/duloxetine+opioids (n=66,860). OUTCOME MEASURES Time to a composite respiratory outcome consisting of mechanical ventilation, intubation, respiratory failure, pneumonia, or acute respiratory distress syndrome. METHODS Cox proportional hazard regression was used to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs). RESULTS Among 133,720 Medicare enrollees (median age 73.3 years; 66.9% female), 6277 (4.7%) experienced respiratory events before the end of follow-up. A total of 3,469 (5.2%) of people who were treated with gabapentin+opioids (median initial dose/day of gabapentin was 300 mg) had respiratory events compared to 2808 (4.2%) of those treated with an active control+opioids. The increased risk in those treated with gabapentin+opioids was statistically significant after adjustment (HR 1.19; 95% CI 1.13, 1.25; p<.0001). The most common respiratory events were pneumonia (3.7% of people in the gabapentin+opioids group versus 3.0% of people in the TCA/duloxetine+opioids group) and respiratory failure (2.3% in the gabapentin+opioids group versus 1.8% in the TCA/duloxetine+opioids group). Results were similar in analyses (a) restricted to ≤30-day follow-up and (b) that required ≥2 fills of each prescription. CONCLUSIONS While recent work indicates no increased mortality risk with concurrent gabapentin and opioid use in this population, the current findings suggest clinicians should exercise caution in prescribing gabapentin to older adults with spine conditions who are using opioids, due to possible impacts on respiratory events. However, we cannot be certain that unmeasured confounding may explain these results and replication is needed.
Collapse
Affiliation(s)
- Laura S Gold
- Department of Radiology, School of Medicine, University of Washington, Seattle, WA, USA; Evidence, and Research Center, Clinical Learning, University of Washington, Seattle, WA, USA.
| | - Patrick J Heagerty
- Evidence, and Research Center, Clinical Learning, University of Washington, Seattle, WA, USA; Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ryan N Hansen
- Department of Pharmacy, University of Washington, Seattle, Washington, USA
| | - Janna L Friedly
- Evidence, and Research Center, Clinical Learning, University of Washington, Seattle, WA, USA; Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Richard A Deyo
- Departments of Family Medicine and Internal Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Michele Curatolo
- Evidence, and Research Center, Clinical Learning, University of Washington, Seattle, WA, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA
| | - Judith A Turner
- Evidence, and Research Center, Clinical Learning, University of Washington, Seattle, WA, USA; Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Sean D Rundell
- Evidence, and Research Center, Clinical Learning, University of Washington, Seattle, WA, USA; Departments of Family Medicine and Internal Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Jeffrey G Jarvik
- Department of Radiology, School of Medicine, University of Washington, Seattle, WA, USA; Evidence, and Research Center, Clinical Learning, University of Washington, Seattle, WA, USA
| | - Pradeep Suri
- Evidence, and Research Center, Clinical Learning, University of Washington, Seattle, WA, USA; Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| |
Collapse
|
2
|
Seah C, Karabacak M, Margetis K. Transcriptomic imputation identifies tissue-specific genes associated with cervical myelopathy. Spine J 2025; 25:588-596. [PMID: 39491753 DOI: 10.1016/j.spinee.2024.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 09/25/2024] [Accepted: 10/27/2024] [Indexed: 11/05/2024]
Abstract
BACKGROUND CONTEXT Degenerative cervical myelopathy (DCM) is a progressive spinal condition that can lead to severe neurological dysfunction. Despite its degenerative pathophysiology, family history has shown to be a largely important factor in incidence and progression, suggesting that inherent genetic predisposition may play a role in pathophysiology. PURPOSE To determine the tissue-specific, functional genetic basis of hereditary predisposition to cervical myelopathy. STUDY DESIGN Retrospective case-control study using patient genetics and matched EHR from the Mount Sinai BioMe Biobank. METHODS In a large, diverse, urban biobank of 32,031 individuals, with 558 individuals with cervical myopathy, we applied transcriptomic imputation to identify genetically regulated gene expression signatures associated with DCM. We performed drug-repurposing analysis using the CMAP database to identify candidate therapeutic interventions to reverse the cervical myelopathy-associated gene signature. RESULTS We identified 16 genes significantly associated with DCM across 5 different tissues, suggesting tissue-specific manifestations of inherited genetic risk (upregulated: HES6, PI16, TMEM183A, BDH2, LINC00937, CLEC4D, USP43, SPATA1; downregulated: TTC12, CDK5, PAFAH1B2, RCSD1, KLHL29, PTPRG, RP11-620J15.3, C1RL). Drug repurposing identified 22 compounds with the potential to reverse the DCM-associated signature, suggesting points of therapeutic intervention. CONCLUSIONS The inherited genetic risk for cervical myelopathy is functionally associated with genes involved in tissue-specific nociceptive and proliferative processes. These signatures may be reversed by candidate therapeutics with nociceptive, calcium channel modulating, and antiproliferative effects. CLINICAL SIGNIFICANCE Understanding the genetic basis of DCM provides critical insights into the hereditary factors contributing to the disease, allowing for more personalized and targeted therapeutic approaches. The identification of candidate drugs through transcriptomic imputation and drug repurposing analysis offers potential new treatments that could significantly improve patient outcomes and quality of life by addressing the underlying genetic mechanisms of DCM.
Collapse
Affiliation(s)
- Carina Seah
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neurosurgery, Mount Sinai Health System, New York, NY, USA.
| | - Mert Karabacak
- Department of Neurosurgery, Mount Sinai Health System, New York, NY, USA
| | | |
Collapse
|
3
|
Stanaway IB, Suri P, Afari N, Dochtermann D, Gerstenberger A, Pyarajan S, Roseen EJ, Gasperi M. Multi-ancestry meta-analysis of genome-wide association studies discovers 67 new loci associated with chronic back pain. Nat Commun 2025; 16:1525. [PMID: 39934103 PMCID: PMC11814113 DOI: 10.1038/s41467-024-55326-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/06/2024] [Indexed: 02/13/2025] Open
Abstract
This multi-ancestry meta-analysis of genome-wide association studies (GWAS) investigated the genetic factors underlying chronic back pain (CBP) in a sample from the Million Veteran Program comprised of 553,601 Veterans of African (19.2%), European (72.6%), and Hispanic (8.2%) ancestry. The results revealed novel (N = 67) and known (N = 20) genome-wide significant loci associated with CBP, with 43 independent variants replicating in a non-overlapping contemporary meta-GWAS of the spinal pain dorsalgia phenotype. The most significant novel variant was rs12533005 (chr7:114416000, p = 1.61 × 10-20, OR = 0.96 (95% CI: 0.95-0.97), EA = C, EAF = 0.39), in an intron of the FOXP2 gene. In silico functional characterization revealed enrichment in brain and pituitary tissues. Mendelian randomization analysis of 62 variants for CBP-MVP revealed 48 with causal links to dorsalgia. Notably, four genes (INPP5B, DRD2, HTT, SLC30A6) associated with these variants are targets of existing drugs. Our findings more than double the number of previously reported genetic predictors across all spinal pain phenotypes.
Collapse
Affiliation(s)
- Ian B Stanaway
- VA Puget Sound Health Care System (VAPSHCS), Seattle, WA, USA
- Department of Nephrology, University of Washington, Seattle, WA, USA
| | - Pradeep Suri
- VA Puget Sound Health Care System (VAPSHCS), Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, VAPSCHS, Seattle, WA, USA
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
- Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, WA, USA
| | - Niloofar Afari
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
| | - Daniel Dochtermann
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System (VABHS), Boston, MA, USA
| | - Armand Gerstenberger
- VA Puget Sound Health Care System (VAPSHCS), Seattle, WA, USA
- Mental Illness Research Education and Clinical Center (MIRECC), VAPSHCS, Seattle, WA, USA
| | - Saiju Pyarajan
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System (VABHS), Boston, MA, USA
| | - Eric J Roseen
- Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedision School of Medicine and Boston Medical Center, Boston, MA, USA
- Department of Physical Medicine & Rehabilitation, VA Boston Healthcare System, Boston, MA, USA
| | - Marianna Gasperi
- VA Puget Sound Health Care System (VAPSHCS), Seattle, WA, USA.
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
- VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA.
- Mental Illness Research Education and Clinical Center (MIRECC), VAPSHCS, Seattle, WA, USA.
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
| |
Collapse
|
4
|
Johnston KJA, Signer R, Huckins LM. Chronic overlapping pain conditions and nociplastic pain. HGG ADVANCES 2025; 6:100381. [PMID: 39497418 PMCID: PMC11617767 DOI: 10.1016/j.xhgg.2024.100381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 10/31/2024] [Accepted: 10/31/2024] [Indexed: 11/13/2024] Open
Abstract
Chronic overlapping pain conditions (COPCs) are a subset of chronic pain conditions commonly comorbid with one another and more prevalent in women and individuals assigned female at birth (AFAB). Pain experience in these conditions may better fit with a new mechanistic pain descriptor, nociplastic pain, and nociplastic pain may represent a shared underlying factor among COPCs. We applied GenomicSEM common-factor genome-wide association study (GWAS) and multivariate transcriptome-wide association (TWAS) analyses to existing GWAS output for six COPCs in order to find genetic variation associated with nociplastic pain, followed by genetic correlation (linkage disequilibrium score regression), gene set, and tissue enrichment analyses. We found 24 independent single nucleotide polymorphisms (SNPs), and 127 unique genes significantly associated with nociplastic pain, and showed nociplastic pain to be a polygenic trait with significant SNP heritability. We found significant genetic overlap between multisite chronic pain and nociplastic pain, and to a smaller extent with rheumatoid arthritis and a neuropathic pain phenotype. Tissue enrichment analyses highlighted cardiac and thyroid tissue, and gene set enrichment analyses emphasized potential shared mechanisms in cognitive, personality, and metabolic traits and nociplastic pain along with distinct pathology in migraine and headache. We used a well-powered network approach to investigate nociplastic pain using existing COPC GWAS output, and show nociplastic pain to be a complex, heritable trait, in addition to contributing to understanding of potential mechanisms in development of nociplastic pain.
Collapse
Affiliation(s)
- Keira J A Johnston
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, CT 06511, USA
| | - Rebecca Signer
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Laura M Huckins
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
| |
Collapse
|
5
|
Fan Z, Chen B, Ding L, Guo H. Unveiling therapeutic targets for spinal stenosis from genetic insights: a Mendelian randomization analysis. Sci Rep 2024; 14:29118. [PMID: 39582071 PMCID: PMC11586425 DOI: 10.1038/s41598-024-80697-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2024] [Accepted: 11/21/2024] [Indexed: 11/26/2024] Open
Abstract
Spinal stenosis is a commonly chronic spinal degenerative disease, which is a major cause of pain and dysfunction in the elderly. Mendelian randomization (MR) has been widely applied to repurpose licensed drugs and identify novel therapeutic targets. Consequently, we intended to identify new therapeutic targets for spinal stenosis and to analyze their possible mechanisms and potential side effects.We conducted the Mendelian randomization analysis to identify potential drug targets for the management of spinal stenosis. Cis-expressed quantitative trait loci (cis-eQTL) data as genetic instrumental variables were acquired from the eQTLGen consortium. The summary statistics for single nucleotide polymorphism (SNP) associations of spinal stenosis were obtained from the FinnGen study(20,807 cases and 294,770 controls). Co-localization analysis was performed to determine whether there was shared causal variation between the SNPs associated with spinal stenosis as well as the eQTL. Multiple external validations were performed to reinforce the reliability and stability of the findings utilizing the cis-eQTL from the GTEx portal, the Ferkingstad et al. pQTL dataset, and the Sun et al. pQTL dataset. The viability of the identified drug targets for future clinical applications was elucidated through the phenome-wide association study and drug candidate prediction. Three drug targets (BMP6, DLK1, and GFPT1) exhibited significant causal associations with spinal stenosis in the eQTLGen cohort by MR analysis, which was strongly supported by the results of the co-localization analysis. The causal association of DLK1 and GFPT1 with spinal stenosis remained remarkable with multiple external validations. Multivariate MR and phenome-wide association study analysis indicated that both targets were not associated with other traits. In addition, phenome-wide association study analysis and drug prediction analysis demonstrated the potential of these two targets for future clinical applications. In this study, DLK1 and GFPT1 were identified as promising novel therapeutic targets for spinal stenosis, providing initial genetic insights for drug development in spinal stenosis.
Collapse
Affiliation(s)
- Zhaopeng Fan
- School of Medicine, Xi'an Jiaotong University, Xi'an, China
- Second department of Orthopedics, The affiliated Xi'an Central Hospital of Xi'an Jiaotong, University College of Medicine, Xi'an, China
| | - Bohong Chen
- Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Le Ding
- School of Medicine, Yan'an University, Yan'an, China
| | - Hua Guo
- Department of Orthopedics, Xi'an Fifth Hospital, Xi'an, China.
| |
Collapse
|
6
|
Suri P, Tsepilov YA, Elgaeva EE, Williams FMK, Freidin MB, Stanaway IB. No evidence for causal effects of C-reactive protein (CRP) on chronic pain conditions: a Mendelian randomization study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.03.24309700. [PMID: 39006441 PMCID: PMC11245067 DOI: 10.1101/2024.07.03.24309700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Objective We conducted a Mendelian randomization (MR) study to examine causal associations of C-reactive protein (CRP) with (1) spinal pain; (2) extent of multisite chronic pain; and (3) chronic widespread musculoskeletal pain. Design Two-sample MR study. Setting/Subjects We used summary statistics from publicly available genome-wide association studies (GWAS) conducted in multiple cohorts and biobanks. Genetic instrumental variables were taken from an exposure GWAS of CRP (n=204,402). Outcome GWASs examined spinal pain (n=1,028,947), extent of multisite chronic pain defined as the number of locations with chronic pain (n=387,649), and chronic widespread pain (n=249,843). Methods We examined MR evidence for causal associations using inverse-variance weighted (IVW) analysis and sensitivity analyses using other methods. We calculated odds ratios (ORs), 95% confidence intervals (95% CIs), and p-values, using a Bonferroni correction (p<0.0166) to account for 3 primary comparisons. Results Greater serum CRP (mg/L) was not significantly causally associated with spinal pain (OR=1.04, 95% CI 1.00-1.08; p=0.07) in IVW analysis. Greater serum CRP also showed no significant causal association with extent of multisite chronic pain in IVW analysis (beta coefficient= 0.014, standard error=0.011; p=0.19). CRP also showed no significant causal association with chronic widespread pain in IVW analysis (OR=1.00, 95% CI 1.00-1.00; p=0.75). All secondary and sensitivity analyses also showed no significant associations. Conclusions This MR study found no causal association of CRP on spinal pain, the extent of chronic pain, or chronic widespread pain. Future studies examining mechanistic biomarkers for pain conditions should consider other candidates besides CRP.
Collapse
Affiliation(s)
- Pradeep Suri
- Division of Rehabilitation Care Services, VA Puget Sound Health Care System, USA
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, USA
- Department of Rehabilitation Medicine, University of Washington, Seattle, USA
- Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, USA
| | - Yakov A. Tsepilov
- Wellcome Sanger Institute, Cambridge, UK
- Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
| | - Elizaveta E. Elgaeva
- Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia
| | - Frances M. K. Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, London, UK
| | - Maxim B. Freidin
- Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Ian B. Stanaway
- Department of Nephrology, University of Washington, Seattle, USA
| |
Collapse
|
7
|
Szigethy L, Sigmundsson FG, Joelson A. Surgically Treated Degenerative Lumbar Spine Diseases in Twins. J Bone Joint Surg Am 2024; 106:891-895. [PMID: 38386722 DOI: 10.2106/jbjs.23.00902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
BACKGROUND There is growing evidence to suggest a potential genetic component underlying the development and progression of lumbar spine diseases. However, the heritability and the concordance rates for the phenotypes requiring surgery for the common spine diseases lumbar spinal stenosis (LSS) and lumbar disc herniation (LDH) are unknown. The aim of this study was to determine the heritability and the concordance rates for LSS and LDH requiring surgery by studying monozygotic (MZ) and dizygotic (DZ) twin pairs. METHODS Patients between 18 and 85 years of age who underwent surgery for LSS or LDH between 1996 and 2022 were identified in the national Swedish spine registry (LSS: 45,110 patients; LDH: 39,272 patients), and matched with the Swedish Twin Registry to identify MZ and DZ twins. Pairwise and probandwise concordance rates, heritability estimates, and MZ/DZ concordance ratios were calculated. RESULTS We identified 414 twin pairs (92 MZ and 322 DZ pairs) of whom 1 or both twins underwent surgery for LSS. The corresponding number for LDH was 387 twin pairs (118 MZ and 269 DZ pairs). The probandwise concordance rate for LSS requiring surgery was 0.25 (26 of 105) (95% confidence interval [CI], 0.14 to 0.34) for MZ twins and 0.04 (12 of 328) (95% CI, 0.01 to 0.07) for DZ twins. The corresponding values for LDH requiring surgery were 0.03 (4 of 120) (95% CI, 0 to 0.08) and 0.01 (4 of 271) (95% CI, 0 to 0.04), respectively. The probandwise MZ/DZ concordance ratio was 6.8 (95% CI, 2.9 to 21.5) for LSS and 2.3 (95% CI, 0 to 8.9) for LDH. The heritability was significantly higher in LSS compared with LDH (0.64 [95% CI, 0.50 to 0.74] versus 0.19 [95% CI, 0.08 to 0.35]). CONCLUSIONS Our findings suggest that genetic factors may play an important role in the risk of developing LSS requiring surgery, whereas heredity seems to be of less importance in LDH requiring surgery. LEVEL OF EVIDENCE Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.
Collapse
Affiliation(s)
- Lilla Szigethy
- Department of Orthopedics, Orebro University Hospital, Orebro, Sweden
| | - Freyr G Sigmundsson
- Department of Orthopedics, Orebro University Hospital, Orebro, Sweden
- Orebro University School of Medical Sciences, Orebro, Sweden
| | - Anders Joelson
- Department of Orthopedics, Orebro University Hospital, Orebro, Sweden
| |
Collapse
|
8
|
Johnston KJ, Signer R, Huckins LM. Chronic Overlapping Pain Conditions and Nociplastic Pain. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.06.27.23291959. [PMID: 38766033 PMCID: PMC11100847 DOI: 10.1101/2023.06.27.23291959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Chronic Overlapping Pain Conditions (COPCs) are a subset of chronic pain conditions commonly comorbid with one another and more prevalent in women and assigned female at birth (AFAB) individuals. Pain experience in these conditions may better fit with a new mechanistic pain descriptor, nociplastic pain, and nociplastic type pain may represent a shared underlying factor among COPCs. We applied GenomicSEM common-factor genome wide association study (GWAS) and multivariate transcriptome-wide association (TWAS) analyses to existing GWAS output for six COPCs in order to find genetic variation associated with nociplastic type pain, followed by genetic correlation (linkage-disequilibrium score regression), gene-set and tissue enrichment analyses. We found 24 independent single nucleotide polymorphisms (SNPs), and 127 unique genes significantly associated with nociplastic type pain, and showed nociplastic type pain to be a polygenic trait with significant SNP-heritability. We found significant genetic overlap between multisite chronic pain and nociplastic type pain, and to a smaller extent with rheumatoid arthritis and a neuropathic pain phenotype. Tissue enrichment analyses highlighted cardiac and thyroid tissue, and gene set enrichment analyses emphasized potential shared mechanisms in cognitive, personality, and metabolic traits and nociplastic type pain along with distinct pathology in migraine and headache. We use a well-powered network approach to investigate nociplastic type pain using existing COPC GWAS output, and show nociplastic type pain to be a complex, heritable trait, in addition to contributing to understanding of potential mechanisms in development of nociplastic pain.
Collapse
Affiliation(s)
- Keira J.A. Johnston
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, CT 06511, USA
| | - Rebecca Signer
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Laura M. Huckins
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, CT 06511, USA
| |
Collapse
|
9
|
Suri P, Elgaeva EE, Williams FMK, Freidin MB, Verzun DA, Tsepilov YA. Repurposing Antihypertensive and Statin Medications for Spinal Pain: A Mendelian Randomization Study. Spine (Phila Pa 1976) 2023; 48:1568-1574. [PMID: 37539717 DOI: 10.1097/brs.0000000000004790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 07/24/2023] [Indexed: 08/05/2023]
Abstract
STUDY DESIGN Mendelian randomization (MR) study. OBJECTIVE To examine whether antihypertensive medications (beta-blockers, calcium channel blockers, and angiotensin-converting enzyme inhibitors) and statins can be repurposed to prevent or treat spinal pain (back or neck pain). SUMMARY OF BACKGROUND DATA Observational studies and a recent MR study have found associations between elevated blood pressure and a greater risk of back pain. Observational studies have found associations between hyperlipidemia and statin use and greater risk of back pain. No prior MR studies have examined the effects of antihypertensives or statins on spinal pain. MATERIALS AND METHODS This was a two-sample MR study using publicly available summary statistics from large-scale genome-wide association studies (GWAS). Sample sizes in exposure GWASs were n=757,601 (systolic blood pressure) and n=173,082 (low-density lipoprotein cholesterol), and n=1,028,947 for the outcome GWAS of spinal pain defined as health care seeking for any spinal pain-related diagnosis. Genes and cis-acting variants were identified as proxies for the drug targets of interest. MR analyses used inverse-variance weighted meta-analysis. The threshold for statistical significance after correction for multiple testing was P <0.0125. RESULTS No statistically significant associations of these medications with spinal pain were found. However, findings were suggestive of a protective effect of beta-blockers on spinal pain risk (odds ratio [OR] 0.84, 95% confidence interval [CI] 0.72-0.98; P =0.03), and calcium channel blockers on greater spinal pain risk (OR 1.12, 95% CI 1.02-1.24; P =0.02). CONCLUSIONS A protective effect of beta-blockers on spinal pain was suggested in the current study, consistent with findings from observational studies of various other pain phenotypes. The detrimental effect of calcium channel blockers on spinal pain suggested in the current study must be interpreted in the context of conflicting directions of effect on nonspinal pain phenotypes in other observational studies.This Mendelian randomization study examined whether antihypertensive medications (beta-blockers, calcium channel blockers, and angiotensin-converting enzyme inhibitors) and statins can be repurposed to prevent or treat spinal.This was a two-sample MR study using publicly available summary statistics from large-scale genome-wide association studies ranging size from 173,082 to 1,028,947 adults.While no statistically significant associations were found, a protective effect of beta-blockers on spinal pain was suggested (odds ratio [OR] 0.84, 95% confidence interval [CI] 0.72 to 0.98; p= 0.03), as was a detrimental effect of calcium channel blockers on spinal pain (OR 1.12, 95% CI 1.02 to 1.24; p= 0.02).
Collapse
Affiliation(s)
- Pradeep Suri
- Division of Rehabilitation Care Services, VA Puget Sound Health Care System, Seattle, WA
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA
- Clinical Learning, Evidence, and Research (CLEAR) Center, University of Washington, Seattle, WA
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA
| | - Elizaveta E Elgaeva
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Maxim B Freidin
- Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, UK
| | - Dmitrii A Verzun
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk, Russia
| | - Yakov A Tsepilov
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, Novosibirsk, Russia
| |
Collapse
|
10
|
McGrath IM, Montgomery GW, Mortlock S. Genomic characterisation of the overlap of endometriosis with 76 comorbidities identifies pleiotropic and causal mechanisms underlying disease risk. Hum Genet 2023; 142:1345-1360. [PMID: 37410157 PMCID: PMC10449967 DOI: 10.1007/s00439-023-02582-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 06/23/2023] [Indexed: 07/07/2023]
Abstract
Comorbid conditions can be driven by underlying pleiotropic and causal mechanisms that can provide insights into shared molecular and biological processes contributing to disease risk. Endometriosis is a chronic condition affecting one in nine women of reproductive age and poses many challenges including lengthy diagnostic delays and limited treatment efficacy owing to poor understanding of disease aetiology. To shed light on the underlying biological mechanisms and to identify potential risk factors, we examine the epidemiological and genomic relationship between endometriosis and its comorbidities. In the UK Biobank 292 ICD10 codes were epidemiologically correlated with endometriosis diagnosis, including gynaecological, immune, infection, pain, psychiatric, cancer, gastrointestinal, urinary, bone and cardiovascular traits. A subset of the identified comorbidities (n = 76) underwent follow-up genetic analysis. Whilst Mendelian randomisation suggested causality was not responsible for most comorbid relationships, 22 traits were genetically correlated with endometriosis, including pain, gynaecological and gastrointestinal traits, suggestive of a shared genetic background. Pleiotropic genetic variants and genes were identified using gene-based and colocalisation analysis. Shared genetic risk factors and potential target genes suggest a diverse collection of biological systems are involved in these comorbid relationships including coagulation factors, development of the female reproductive tract and cell proliferation. These findings highlight the diversity of traits with epidemiological and genomic overlap with endometriosis and implicate a key role for pleiotropy in the comorbid relationships.
Collapse
Affiliation(s)
- Isabelle M McGrath
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Grant W Montgomery
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Sally Mortlock
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
| |
Collapse
|
11
|
Xu J, Si H, Zeng Y, Wu Y, Zhang S, Shen B. Transcriptome-wide association study reveals candidate causal genes for lumbar spinal stenosis. Bone Joint Res 2023; 12:387-396. [PMID: 37356815 PMCID: PMC10290907 DOI: 10.1302/2046-3758.126.bjr-2022-0160.r1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023] Open
Abstract
Aims Lumbar spinal stenosis (LSS) is a common skeletal system disease that has been partly attributed to genetic variation. However, the correlation between genetic variation and pathological changes in LSS is insufficient, and it is difficult to provide a reference for the early diagnosis and treatment of the disease. Methods We conducted a transcriptome-wide association study (TWAS) of spinal canal stenosis by integrating genome-wide association study summary statistics (including 661 cases and 178,065 controls) derived from Biobank Japan, and pre-computed gene expression weights of skeletal muscle and whole blood implemented in FUSION software. To verify the TWAS results, the candidate genes were furthered compared with messenger RNA (mRNA) expression profiles of LSS to screen for common genes. Finally, Metascape software was used to perform enrichment analysis of the candidate genes and common genes. Results TWAS identified 295 genes with permutation p-values < 0.05 for skeletal muscle and 79 genes associated for the whole blood, such as RCHY1 (PTWAS = 0.001). Those genes were enriched in 112 gene ontology (GO) terms and five Kyoto Encyclopedia of Genes and Genomes pathways, such as 'chemical carcinogenesis - reactive oxygen species' (LogP value = -2.139). Further comparing the TWAS significant genes with the differentially expressed genes identified by mRNA expression profiles of LSS found 18 overlapped genes, such as interleukin 15 receptor subunit alpha (IL15RA) (PTWAS = 0.040, PmRNA = 0.010). Moreover, 71 common GO terms were detected for the enrichment results of TWAS and mRNA expression profiles, such as negative regulation of cell differentiation (LogP value = -2.811). Conclusion This study revealed the genetic mechanism behind the pathological changes in LSS, and may provide novel insights for the early diagnosis and intervention of LSS.
Collapse
Affiliation(s)
- Jiawen Xu
- Orthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, China
| | - Haibo Si
- Orthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, China
| | - Yi Zeng
- Orthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, China
| | - Yuangang Wu
- Orthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, China
| | - Shaoyun Zhang
- Orthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, China
| | - Bin Shen
- Orthopedic Research Institute, Department of Orthopedics, Sichuan University West China Hospital, Chengdu, China
| |
Collapse
|
12
|
Wang Z, Liu B, Ma X, Wang Y, Han W, Xiang L. lncRNA ZFAS1 promotes intervertebral disc degeneration by upregulating AAK1. Open Med (Wars) 2022; 17:1973-1986. [PMID: 36561842 PMCID: PMC9743196 DOI: 10.1515/med-2022-0530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/29/2022] [Accepted: 07/08/2022] [Indexed: 12/13/2022] Open
Abstract
We investigated the function of lncRNA zinc finger antisense 1 (ZFAS1) in intervertebral disc degeneration (IDD) progression in vitro and in vivo. Nucleus pulposus (NP) tissues were obtained from 20 patients with IDD. IL-1β was used to stimulate primary NP cells to establish the IDD models in vitro. Gene expression was determined by RT-qPCR. 5-Ethynyl-2'-deoxyuridine and flow cytometry were performed to determine cell proliferation and apoptosis, and western blotting was conducted to measure the apoptosis- and extracellular matrix (ECM)-related protein expression. Luciferase reporter assay was used to examine the interactions between the genes. We also investigated the effect of ZFAS1 in a mouse model of IDD induced by needle punctures. Our results showed that ZFAS1 expression was elevated in degenerative NP tissues and IL-1β-treated NP cells. ZFAS1 knockdown inhibited NP cell apoptosis and ECM degradation induced by IL-1β. Mechanically, ZFAS1 sponged miR-4711-5p and adaptor-associated kinase 1 (AAK1) was targeted by miR-4711-5p. Furthermore, AAK1 overexpression partially eliminated the impact of ZFAS1 depletion on NP cell proliferation, apoptosis, and ECM degradation. More importantly, the results of the in vivo studies confirmed the effect of silencing ZFAS1 on alleviating the symptoms of IDD mice. Overall, silencing ZFAS1 inhibits IDD progression by reducing NP cell apoptosis and ECM degradation through the miR-4711-5p/AAK1 axis.
Collapse
Affiliation(s)
- Zheng Wang
- Department of Orthopedics, General Hospital of Northern Theater Command, Shenyang 110016, Liaoning, China
| | - Bin Liu
- Department of Orthopedics, General Hospital of Northern Theater Command, Shenyang 110016, Liaoning, China
| | - Xiangyu Ma
- Department of Orthopedics, General Hospital of Northern Theater Command, Shenyang 110016, Liaoning, China
| | - Yu Wang
- Department of Orthopedics, General Hospital of Northern Theater Command, Shenyang 110016, Liaoning, China
| | - Wenfeng Han
- Department of Orthopedics, General Hospital of Northern Theater Command, No. 83 Wenhua
Road, Shenyang 110016, Liaoning, China
| | - Liangbi Xiang
- Department of Orthopedics, General Hospital of Northern Theater Command, No. 83 Wenhua
Road, Shenyang 110016, Liaoning, China
| |
Collapse
|
13
|
Selective Nerve Root Block in Treatment of Lumbar Radiculopathy: A Narrative Review. SURGERIES 2022. [DOI: 10.3390/surgeries3030028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Selective Nerve Root Block (SNRB) is a precise local injection technique that can be utilised to target a particular inflamed nerve root causing lumbar radiculopathy for both diagnostic and therapeutic purposes. Usually, for SNRB to be therapeutic, a combination of a local anaesthetic agent and a steroid is injected under imaging guidance, whereas for diagnostic purposes, just the local anaesthetic agent is injected. While the ideal treatment strategy is to relieve the nerve root from its compressing pathology, local injection of steroids targeted at the affected nerve root can also be attempted to reduce inflammation and thus achieve pain relief. Although the general principle for administering an SNRB remains largely the same across the field, there are differences in techniques depending on the region and level of the spine that is targeted. Moreover, drug combinations utilised by clinicians vary based on preference. The proven benefits of SNRBs largely outweigh their risks, and the procedure is deemed safe and well tolerated in a majority of patients. In this narrative, we explore the existing literature and seek to provide a comprehensive understanding of SNRB as a treatment for lumbar radiculopathy, its indications, techniques, outcomes, and complications.
Collapse
|
14
|
Causal effects of psychosocial factors on chronic back pain: a bidirectional Mendelian randomisation study. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2022; 31:1906-1915. [PMID: 35662366 PMCID: PMC9273132 DOI: 10.1007/s00586-022-07263-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 04/16/2022] [Accepted: 05/07/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE Risk factors for chronic back pain (CBP) may share underlying genetic factors, making them difficult to study using conventional methods. We conducted a bi-directional Mendelian randomisation (MR) study to examine the causal effects of risk factors (education, smoking, alcohol consumption, physical activity, sleep and depression) on CBP and the causal effect of CBP on the same risk factors. METHODS Genetic instruments for risk factors and CBP were obtained from the largest published genome-wide association studies (GWAS) of risk factor traits conducted in individuals of European ancestry. We used inverse weighted variance meta-analysis (IVW), Causal Analysis Using Summary Effect (CAUSE) and sensitivity analyses to examine evidence for causal associations. We interpreted exposure-outcome associations as being consistent with a causal relationship if results with IVW or CAUSE were statistically significant after accounting for multiple statistical testing (p < 0.003), and the direction and magnitude of effect estimates were concordant between IVW, CAUSE, and sensitivity analyses. RESULTS We found evidence for statistically significant causal associations between greater education (OR per 4.2 years of schooling = 0.54), ever smoking (OR = 1.27), greater alcohol consumption (OR = 1.29 per consumption category increase) and major depressive disorder (OR = 1.41) and risk of CBP. Conversely, we found evidence for significant causal associations between CBP and greater alcohol consumption (OR = 1.19) and between CBP and smoking (OR = 1.21). Other relationships did not meet our pre-defined criteria for causal association. CONCLUSION Fewer years of schooling, smoking, greater alcohol consumption, and major depressive disorder increase the risk of CBP. CBP increases the risk of greater alcohol consumption and smoking.
Collapse
|
15
|
Wu P, Du B, Wang B, Yin R, Lv X, Dai Y, Zhang W, Xia K. Joint Analysis of Genome-Wide Association Data Reveals No Genetic Correlations Between Low Back Pain and Neurodegenerative Diseases. Front Genet 2021; 12:744299. [PMID: 34630533 PMCID: PMC8493037 DOI: 10.3389/fgene.2021.744299] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 08/23/2021] [Indexed: 12/25/2022] Open
Abstract
Background: We aimed to explore the genetic correlation and bidirectional causal relationships between low back pain (LBP) and three neurodegenerative diseases, Alzheimer’s disease (AD), Parkinson’s disease (PD), and amyotrophic lateral sclerosis (ALS). Methods: Summary-level statistics were obtained from genome-wide association studies of LBP (n = 177,860), AD (n = 63,926), PD (n = 482,730), and ALS (n = 80,610). We implemented linkage disequilibrium score regression to calculate heritability estimates and genetic correlations. To investigate possible causal associations between LBP and three neurodegenerative diseases, we also conducted a bidirectional two-sample Mendelian randomization (MR) study. Inverse variance-weighted MR was employed as the primary method to generate overall estimates, whereas complementary approaches and sensitivity analyses were conducted to confirm the consistency and robustness of the findings. Results: There was no evidence of genetic correlations between LBP and AD (Rg = −0.033, p = 0.766). MR analyses did not support the causal effect of LBP on AD (OR = 1.031; 95% CI, 0.924–1.150; p = 0.590) or the effect of AD on LBP (OR = 0.963; 95% CI, 0.923–1.006; p = 0.090). Likewise, this study failed to identify genetic correlations between LBP and two other neurodegenerative diseases. MR results of the associations of LBP with PD and ALS, and the reverse associations, did not reach Bonferroni-corrected significance. Conclusion: The study did not support genetic correlations or causations between LBP and three common neurodegenerative diseases, AD, PD, and ALS in the European population.
Collapse
Affiliation(s)
- Pengfei Wu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China.,Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Bing Du
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Bing Wang
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.,Center for Digital Spine Surgery, Central South University, Changsha, China
| | - Rui Yin
- Department of Biomedical Informatics and Harvard Medical School, Boston, MA, United States
| | - Xin Lv
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuliang Dai
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.,Center for Digital Spine Surgery, Central South University, Changsha, China
| | - Wan Zhang
- Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States.,Department of Biology, College of Arts & Sciences, Boston University, Boston, MA, United States
| | - Kun Xia
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China.,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Shanghai, China.,Hengyang Medical School, University of South China, Hengyang, China
| |
Collapse
|